Conditional Proxy Re-Encryption-Based Key Sharing Mechanism for Clustered Federated Learning by Yongjing Zhang, Zhouyang Zhang, Shan Ji, Shenqing Wang, Shitao Huang

“…By combining the functions of the bilinear pairwise accumulator and specific conditional proxy broadcast re-ciphering, the mechanism can verify the integrity of homomorphic encryption keys stored on cloud servers. In addition, the solution enables key management centers to grant secure and controlled access to re-encrypted homomorphic encryption keys to third parties without disclosing the sensitive information contained therein. …”
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Thresholdizing lattice based encryption schemes by Xia, Andrew.

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StealthyCRM, a secure Cloud CRM system application that supports fully homomorphic database encryption by Xia, Ye

“…To provide a practical and secure solution to these enterprises, this project aims to build a cloud CRM system that enables fully homomorphic encryption. In order to explore the potential of this, the project integrats three key components: Open source CRM system SugarCRM, partial homomorphic database system CryptDB and fully homomorphic encryption library HElib. …”
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Privacy‐preserving evaluation for support vector clustering by J. Byun, J. Lee, S. Park

“…Abstract The authors proposed a privacy‐preserving evaluation algorithm for support vector clustering with a fully homomorphic encryption. The proposed method assigns clustering labels to encrypted test data with an encrypted support function. …”
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Fast Proxy Re-Encryption for Publish/Subscribe Systems by Polyakov, Yuriy, Rohloff, Kurt, Sahu, Gyana, Vaikuntanathan, Vinod

“…Our first scheme (which we call NTRU-ABD-PRE) is based on a variant of the NTRU-RLWE homomorphic encryption scheme. Our second and main PRE scheme (which we call BV-PRE) is built on top of the Brakerski-Vaikuntanathan (BV) homomorphic encryption scheme and relies solely on the RLWE assumption. …”
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TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service by Sanyal, A, Kusner, M, Gascon, A, Kanade, V

“…The one drawback of using fully homomorphic encryption is the amount of time required to evaluate large machine learning models on encrypted data. …”

On the IND-CCA1 Security of FHE Schemes by Prastudy Fauzi, Martha Norberg Hovd, Håvard Raddum

“…Fully homomorphic encryption (FHE) is a powerful tool in cryptography that allows one to perform arbitrary computations on encrypted material without having to decrypt it first. …”
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Federify: A Verifiable Federated Learning Scheme Based on zkSNARKs and Blockchain by Ghazaleh Keshavarzkalhori, Cristina Perez-Sola, Guillermo Navarro-Arribas, Jordi Herrera-Joancomarti, Habib Yajam

“…We propose Federify, a decentralized federated learning framework based on blockchain that employs homomorphic encryption and zero knowledge proofs to provide security, privacy, and transparency. …”
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A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications by Arwa Alromih, Mznah Al-Rodhaan, Yuan Tian

“…The scheme uses homomorphic encryption techniques to conceal the report’s measurement from any adversary. …”
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Secure Two-Party Decision Tree Classification Based on Function Secret Sharing by Kun Liu, Chunming Tang

“…The critical techniques employed include homomorphic encryption, function secret sharing (FSS), and a custom secure comparison protocol. …”
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Development of a framework to encrypt plaintext to ciphertext by Zheng, Dongmiao

“…The Fully Homomorphic Encryption scheme is an evolvement from the Brakerski- Gentry-Vaikuntanathan (BGV) scheme. …”
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ПРИМЕНЕНИЕ ЗАПУТЫВАЮЩИХ ПРЕОБРАЗОВАНИЙ В КРИПТОГРАФИИ by Евгений Юрьевич Родионов

“…This paper covers questions related with transforming symmetric encryption schemes into asymmetric and designing homomorphic encryption schemes.…”
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Research on medical data storage and sharing model based on blockchain by Jian Zhao, Wenqian Qiang, Zisong Zhao, Tianbo An, Zhejun Kuang, Dawei Xu, Lijuan Shi

“…To solve the above problems, a secure storage and sharing model of private data based on blockchain technology and homomorphic encryption is constructed. Based on the idea of blockchain decentralization, the model maintains a reliable medical alliance chain system to ensure the safe transmission of data between different institutions; A privacy data encryption and computing protocol based on homomorphic encryption is constructed to ensure the safe transmission of medical data; Using its complete anonymity to ensure the Blockchain of medical data and patient identity privacy; A strict transaction control management mechanism of medical data based on Intelligent contract automatic execution of preset instructions is proposed. …”
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Blockchain Based M+1st-Price Auction With Exponential Bid Upper Bound by Po-Chu Hsu, Atsuko Miyaji

“…However, previous protocols that use binary format bidding vectors require a somewhat homomorphic encryption (SHE) and a trusted manager. To make sure no party except the bidder itself knows its bid, our protocol does not have any managers. …”
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SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers by Khedr, Alhassan, Gulak, Glenn, Vaikuntanathan, Vinod

“…Homomorphic encryption (HE) systems enable computations on encrypted data, without decrypting and without knowledge of the secret key. …”
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Keeping secrets from those you work with : constructions and characterizations of encryption by Wilson, David A., Ph. D. Massachusetts Institute of Technology

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Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition With Privacy Protection by Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb, Daile Osorio-Roig, Christoph Busch

“…Furthermore, by facilitating a seamless integration of template protection with open-source homomorphic encryption libraries, the proposed method guarantees unlinkability, irreversibility, and renewability of the protected biometric data.…”
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Let’s stride blindfolded in a forest : sublinear multi-client decision trees evaluation by Ma, Jack P. K., Tai, Raymond K. H., Zhao, Yongjun, Chow, Sherman S. M.

“…(ESORICS ’17) propose a privacy-preserving decision-tree evaluation protocol purely based on additive homomorphic encryption, without introducing dummy nodes for hiding the tree structure, but it runs a secure comparison for each decision node, resulting in linear complexity. …”
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Secure human action recognition by encrypted neural network inference by Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams

“…In this paper, the authors propose a strategy that uses homomorphic encryption, which guarantees information confidentiality while retaining action detection.…”
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Privacy-preserving protocols from lattice cryptography by Tan, Benjamin Hong Meng

“…In the first scenario, we use fully homomorphic encryption for finite extension fields and design a wildcard pattern matching algorithm on encrypted strings and patterns. …”
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